CN111680774A - Warehouse safety management system based on ZigBee technology and optimized radio frequency identification technology - Google Patents
Warehouse safety management system based on ZigBee technology and optimized radio frequency identification technology Download PDFInfo
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- CN111680774A CN111680774A CN202010507756.0A CN202010507756A CN111680774A CN 111680774 A CN111680774 A CN 111680774A CN 202010507756 A CN202010507756 A CN 202010507756A CN 111680774 A CN111680774 A CN 111680774A
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- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
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Abstract
The invention relates to the technical field of monitoring and controlling environmental parameters of warehouse networking, in particular to a warehouse safety management system designed based on a ZigBee technology and an optimized Radio Frequency Identification (RFID) technology, wherein a CC2530 processor is used as a control unit of the system, a digital temperature and humidity sensor DHT11, an MQ-2 smoke sensor, a YG1006 infrared flame sensor and a toxic gas sensor are used for monitoring the safety of the warehouse environment, and meanwhile, the ZigBee terminal is used by being combined with a radio frequency identification module to monitor the warehouse environment. Due to the fact that the monitoring environment is complex, an optimized positioning algorithm is provided, the algorithm carries out preprocessing on a received reference point signal strength value RSSI, regional position estimation of the abnormal environment of the warehouse is carried out by combining a reference label with a known position and a label to be positioned, the selection of an adjacent reference label is optimized by adopting the idea of an optimal path and combining the LANDMAC positioning algorithm, the estimation precision of the position of the label to be positioned is improved, and regional positioning of the warehouse is completed.
Description
Technical Field
The invention relates to the technical field of warehouse networking environmental parameter monitoring and control, in particular to a warehouse safety management system based on a ZigBee technology and an optimized Radio Frequency Identification (RFID) technology.
Background
With the application of the internet of things technology to the storage environment safety management, the requirement for intellectualization is increasing day by day. At present, the warehousing management in China mainly carries out informatization promotion and anti-theft safety management. Although some warehouses can monitor temperature indexes and intrusion, the system still far fails to meet the requirement of intellectualization, particularly, the system mainly depends on manual work on alarm means and problem handling, and the system architecture is limited to a local area network, is basically a warehouse set of application and generally uses wired sensors. Therefore, accurate and efficient wireless warehousing intelligent monitoring and early warning based on cloud platform control is particularly needed. In a short-distance wireless communication network of a warehouse, a ZigBee networking technology and a Radio Frequency Identification (RFID) technology are widely used. The invention designs a warehouse safety management system based on the ZigBee technology and the optimized RFID technology. The sensing layer realizes real-time detection in a safe environment in a warehouse by a temperature and humidity sensor, a toxic gas sensor, a smoke sensor, a fire sensor and an RFID (radio frequency identification) module; the transmission layer is formed by a ZigBee coordinator and a routing gateway, and realizes wireless data transmission; the application layer adopts an upper computer to monitor the safe environment of the warehouse, and the internal environment of the warehouse is monitored in all directions
Disclosure of Invention
The invention aims to provide a technology for overcoming the problems of monitoring important parameters of the storage environment and intelligently controlling the storage environment when abnormity occurs; the system takes a CC2530 processor as a control unit, utilizes a digital temperature and humidity sensor DHT11, an MQ-2 smoke sensor, a YG1006 infrared flame sensor and a toxic gas sensor to realize the monitoring of the environmental safety of the warehouse, and simultaneously realizes various environmental parameters in the warehouse and the accurate positioning function by combining with a radio frequency identification module.
The invention adopts the following technical scheme for realizing the purpose:
a warehouse safety management system design based on ZigBee technology and optimized Radio Frequency Identification (RFID) technology is characterized in that: the system takes a CC2530 processor as a control unit, utilizes a digital temperature and humidity sensor DHT11, an MQ-2 smoke sensor, a YG1006 infrared flame sensor and a toxic gas sensor to monitor the environmental safety of a warehouse, and simultaneously realizes various environmental parameters in the warehouse and an accurate positioning function by combining with a radio frequency identification module. Preprocessing a received reference point signal strength value RSSI, carrying out regional estimation on the abnormal environment of the warehouse by combining a reference tag with a known position and a tag to be positioned, optimizing the selection of an adjacent reference tag by adopting the idea of an optimal path and combining a LANDMAC positioning algorithm, improving the estimation precision of the position of the tag to be positioned, and completing regional positioning of the warehouse;
further, the warehouse safety management system design based on the ZigBee technology and the optimized RFID technology is characterized in that: the ZigBee gateway device is designed based on a ZigBee gateway and receives data collected by the terminal ZigBee node detection device, and the upper computer monitoring device and the APP software are used for displaying system parameter changes of the system;
further, the terminal node monitoring device is characterized in that: the terminal node monitoring device includes: the system comprises a digital temperature and humidity sensor DHT11, an MQ-2 smoke sensor, a YG1006 infrared flame sensor, a toxic gas sensor, a CC2530 microprocessor and a ZigBee communication module;
further, the terminal node control apparatus is characterized in that: selecting a data preprocessing optimization algorithm to process original environment data, combining the RFID and the ZigBee technology, preprocessing a received reference point signal strength value RSSI, estimating regional positions of abnormal environments of the warehouse by combining a reference label with a known position and a label to be positioned, optimizing the selection of adjacent reference labels by adopting the idea of an optimal path and combining the LANDMARC positioning algorithm, improving the estimation precision of the positions of the labels to be positioned, and completing regional positioning of the warehouse;
preferably, the data preprocessing optimization algorithm provided by the invention obtains a model relation of RSSI-distance by analyzing a loss model of a wireless signal in a complex-environment warehouse environment in a transmission process, introduces an RSSI filtering model to reduce the influence of the environment on a measurement error, converts a received signal strength value RSSI of a node to be positioned, which is acquired from a reference point, into real-time distance information, and completes regional positioning of the warehouse.
Compared with the prior art, the invention has the beneficial effects that:
1. the storage environment monitoring data is used for processing original environment data through a preprocessing optimization algorithm, RFID technology and ZigBee technology are combined, received reference point signal strength value RSSI is preprocessed, regional position estimation of abnormal environment of a warehouse is carried out through combination of a reference label with a known position and a label to be positioned, selection of an adjacent reference label is optimized through the idea of an optimal path and combination of a LANDMAC positioning algorithm, estimation accuracy of the position of the label to be positioned is improved, an RSSI-distance model relation is obtained through loss model analysis of wireless signals in the warehouse environment with a complex environment in the transmission process, an RSSI filtering model is introduced, influence of the environment on measurement errors is reduced, received signal strength value RSSI of a node to be positioned, acquired by a reference point, is converted into real-time distance information, and regional positioning of the warehouse is completed. The working principle of the RFID indoor positioning algorithm is that communication is established through antenna connection, data identification is carried out by utilizing a reader and a tag, and accurate reading of time, RSSI and ID is realizedAnd (6) taking. In the system, the multipath effect and data fluctuation of the indoor transmission of the wireless signals are eliminated by establishing an RSSI-distance wireless signal indoor transmission loss model and utilizing a Gaussian filter algorithm, and the RSSI value of the signal strength of the reference points is converted into the distance value between the reference points. The model of the system signal strength and the transmission distance value is as follows: RSSId＝Dre-10lgDratio·αloss+r(ii) a Wherein D isreFor the measured signal strength of the tag at the reference point, DratioFor the actual distance to reference distance scaling factor, αlossIn order to obtain a signal loss factor in the transmission path,ris a gaussian compensation for signal loss.
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FIG. 1 is a general block diagram of system monitoring and control
FIG. 2 is a system edge control node module layout
FIG. 3 is a system work flow diagram
FIG. 4 is a flow chart of a system positioning algorithm
Detailed Description
The invention is further illustrated by the following specific examples.
The warehouse safety management system based on the ZigBee technology and the optimized Radio Frequency Identification (RFID) technology is generally designed as shown in figure 1 and mainly comprises a terminal node detection module, a controller module, a ZigBee gateway, a terminal display and the like. The storage environment monitoring system comprises a CC2530 processor, a terminal node detection module, a storage environment monitoring module and a storage environment monitoring module, wherein the CC2530 processor is used as a control unit, and the terminal node detection module is formed by a digital temperature and humidity sensor DHT11, an MQ-2 smoke sensor, a YG1006 infrared flame sensor and a toxic gas sensor and is driven by an MCU (microprogrammed control unit) to monitor and control storage environment parameters; because the parameter data acquisition of the storage environment is in a complex environment, the ZigBee technology is adopted in the text for solving the wiring problem; a wireless sensor network is formed by ZigBee gateways, and communication of the terminal nodes in the wireless sensor network is achieved. The ZigBee gateway sends the processed data to a terminal server through wireless communication for storage and processing, and displays the data through a terminal, so that the storage environment parameters are monitored.
The design of the edge control node module of the warehouse safety management system based on the ZigBee technology and the optimized Radio Frequency Identification (RFID) technology is shown in figure 2, and the terminal node control device mainly comprises: the CC2530 control and processor unit, digital temperature and humidity sensor DHT11, MQ-2 smoke sensor, YG1006 infrared flame sensor and toxic gas sensor.
The working flow chart of the warehouse safety management system based on the ZigBee technology and the optimized Radio Frequency Identification (RFID) technology is shown in figure 3, and the system utilizes the ZigBee networking technology and forms a wireless transmission network by a terminal environment monitoring node, a network routing node and a coordinator node. The system comprises an internet cloud platform, a mobile phone client and a web client, wherein the internet cloud platform, the mobile phone client and the web client form a terminal for monitoring, and environmental data such as warehouse temperature, humidity, smoke, flame and the like collected by a sensor are transmitted to the cloud platform for storage and processing through a gateway.
The principle of the positioning algorithm of the warehouse safety management system based on the ZigBee technology and the optimized Radio Frequency Identification (RFID) technology is shown in figure 4, and the RFID technology and the ZigBee technology are combined. The received reference point signal strength value RSSI is preprocessed through the two technologies, and regional position estimation of the abnormal environment of the warehouse is carried out by combining a reference label with a known position and a label to be positioned. In the system positioning process, the selection of adjacent reference tags is optimized by adopting the idea of an optimal path and combining with a LANDMARC positioning algorithm, the estimation precision of the positions of the tags to be positioned is improved, the model relation of RSSI-distance is obtained by analyzing the loss model of wireless signals in the complex environment of a warehouse in the transmission process, the RSSI filtering model is introduced, the influence of the environment on the measurement error is reduced, the RSSI of the received signal strength value of the node to be positioned, which is acquired by a reference point, is converted into real-time distance information, and the regional positioning of the warehouse is completed.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art. All such alternatives are intended to be within the scope of the present invention.
Claims (4)
1. A warehouse safety management system design based on ZigBee technology and optimized Radio Frequency Identification (RFID) technology is characterized in that: the system takes a CC2530 processor as a control unit, utilizes a digital temperature and humidity sensor DHT11, an MQ-2 smoke sensor, a YG1006 infrared flame sensor and a toxic gas sensor to realize the monitoring of the environmental safety of the warehouse, simultaneously realizes various environmental parameters in the warehouse and realizes the accurate positioning function by combining with a Radio Frequency Identification (RFID) module, provides a data preprocessing optimization algorithm to process original environmental data due to the complex and changeable monitoring environment, sends the acquired and processed data to a controller to realize intelligent control, and displays the data to a user through an upper computer.
2. The warehouse security management system based on ZigBee technology and optimized Radio Frequency Identification (RFID) technology as claimed in claim 1, wherein: terminal node monitoring devices, terminal node controlling means, zigBee gateway device, host computer monitoring device and APP software, zigBee gateway device is based on zigBee gateway design promptly, accepts the data that come from terminal zigBee node detection device collection, host computer monitoring device and APP software are terminal display system parameter changes promptly.
3. A terminal node monitoring device according to claim 1, characterized in that: the terminal node monitoring device includes: digital temperature and humidity sensor DHT11, MQ-2 smoke sensor, YG1006 infrared flame sensor, toxic gas sensor, CC2530 microprocessor and zigBee communication module.
4. A terminal node control apparatus according to claim 1, wherein: the method comprises the steps of selecting a data preprocessing optimization algorithm to process original environment data, combining RFID and ZigBee technologies, preprocessing received reference point signal strength values RSSI, estimating regional positions of abnormal environments of a warehouse by combining reference labels with known positions and labels to be positioned, optimizing selection of adjacent reference labels by adopting the idea of an optimal path and combining a LANDMAC positioning algorithm, improving estimation accuracy of the positions of the labels to be positioned, obtaining a model relation of RSSI-distance by analyzing loss models of wireless signals in the transmission process in the warehouse environment with complex environment, introducing an RSSI filtering model, reducing influence of the environment on measurement errors, converting received signal strength values RSSI of nodes to be positioned, acquired by reference points, into real-time distance information, and finishing regional positioning of the warehouse.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112665304A (en) * | 2020-12-28 | 2021-04-16 | 珠海格力电器股份有限公司 | Multi-point temperature control method and device for refrigeration house and refrigeration house |
| CN113173362A (en) * | 2021-04-25 | 2021-07-27 | 安徽理工大学 | Intelligent garbage can control system |
| CN114786286A (en) * | 2022-05-20 | 2022-07-22 | 哈尔滨理工大学 | UV-CIPP curing self-adaptive control system |
| CN117130415A (en) * | 2023-10-27 | 2023-11-28 | 四川信特农牧科技有限公司 | Warehouse management method and system |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112665304A (en) * | 2020-12-28 | 2021-04-16 | 珠海格力电器股份有限公司 | Multi-point temperature control method and device for refrigeration house and refrigeration house |
| CN113173362A (en) * | 2021-04-25 | 2021-07-27 | 安徽理工大学 | Intelligent garbage can control system |
| CN114786286A (en) * | 2022-05-20 | 2022-07-22 | 哈尔滨理工大学 | UV-CIPP curing self-adaptive control system |
| CN117130415A (en) * | 2023-10-27 | 2023-11-28 | 四川信特农牧科技有限公司 | Warehouse management method and system |
| CN117130415B (en) * | 2023-10-27 | 2024-01-02 | 四川信特农牧科技有限公司 | Warehouse management method and system |
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Application publication date: 20200918 |